Senior Data Engineer

Role Description

Design, develop, and maintain scalable ELT pipelines and modern data architectures.

• Build and optimize data transformation workflows using dbt and SQL.
• Collaborate closely with software engineers and product teams to support data-driven applications.
• Develop infrastructure as code using Terraform.
• Support web application integrations involving Node.js, TypeScript, GraphQL, and React.
• Improve data reliability, monitoring, and operational excellence across the platform.
• Participate in production support through an on-call rotation (1 week every 4 weeks) and serve as backup on-call engineer for an additional week every 4 weeks.
• Collaborate with US-based engineering teams to troubleshoot production issues and continuously improve platform performance.
• Contribute to best practices around data engineering, automation, and cloud architecture.

Qualifications

• Strong experience building ELT pipelines and modern data engineering solutions.
• Advanced experience with dbt and SQL.
• Hands-on experience with Terraform.
• Experience working with web application technologies, including: Node.js, TypeScript, GraphQL, React.
• Strong analytical and problem-solving skills.
• Experience working in Agile environments.
• Excellent communication skills and ability to collaborate with distributed international teams.
• English proficiency sufficient to work daily with US-based engineers.

Requirements

• Nice to have: Snowflake.
• AWS.
• Apache Airflow.
• Looker.
• Python.
• GitHub.
• Experience supporting production environments and participating in on-call rotations.
• Experience designing modern cloud-native data platforms.
• English level: Upper-Intermediate.

Benefits

• International projects.
• In-office, hybrid, or remote flexibility.
• Medical healthcare.
• Recognition program.
• Ongoing learning & reimbursement.
• Well-being program.
• Team events & local benefits.
• Sports compensation.
• Referral bonuses.
• Top-tier equipment provision.